mikhail-panzo
commited on
Commit
•
a57be9c
1
Parent(s):
ac9d73e
Training in progress, step 8000, checkpoint
Browse files
checkpoint-8000/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 577789320
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd18949200cc18253784c7a7a9eb2edd3a1bd2b28eaae64ac118b150d9c5cab1
|
3 |
size 577789320
|
checkpoint-8000/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1155772233
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b2d534f5a1509cc19619065899e388a3e7638e5ffb644652de86750bb93f12a
|
3 |
size 1155772233
|
checkpoint-8000/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f32741e19bb28c33b69dd067716472e7e4f838444bd374bcfd9b816ca07aa38a
|
3 |
size 14244
|
checkpoint-8000/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03842876983aebd886d0e95b5f18afd54f0a345fd4849cda48bff8e02fa53f4a
|
3 |
size 1064
|
checkpoint-8000/trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "mikhail-panzo/zlm-fil-ceb_b64_le5_s8000/checkpoint-
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 8000,
|
7 |
"is_hyper_param_search": false,
|
@@ -9,1258 +9,1258 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch":
|
13 |
-
"grad_norm":
|
14 |
"learning_rate": 2.5000000000000004e-07,
|
15 |
-
"loss": 0.
|
16 |
"step": 50
|
17 |
},
|
18 |
{
|
19 |
-
"epoch":
|
20 |
-
"grad_norm":
|
21 |
"learning_rate": 5.000000000000001e-07,
|
22 |
-
"loss": 0.
|
23 |
"step": 100
|
24 |
},
|
25 |
{
|
26 |
-
"epoch":
|
27 |
-
"grad_norm":
|
28 |
"learning_rate": 7.5e-07,
|
29 |
-
"loss": 0.
|
30 |
"step": 150
|
31 |
},
|
32 |
{
|
33 |
-
"epoch":
|
34 |
-
"grad_norm": 0.
|
35 |
"learning_rate": 1.0000000000000002e-06,
|
36 |
-
"loss": 0.
|
37 |
"step": 200
|
38 |
},
|
39 |
{
|
40 |
-
"epoch":
|
41 |
-
"grad_norm":
|
42 |
"learning_rate": 1.25e-06,
|
43 |
-
"loss": 0.
|
44 |
"step": 250
|
45 |
},
|
46 |
{
|
47 |
-
"epoch":
|
48 |
-
"grad_norm": 0.
|
49 |
"learning_rate": 1.5e-06,
|
50 |
-
"loss": 0.
|
51 |
"step": 300
|
52 |
},
|
53 |
{
|
54 |
-
"epoch":
|
55 |
-
"grad_norm": 0.
|
56 |
"learning_rate": 1.75e-06,
|
57 |
-
"loss": 0.
|
58 |
"step": 350
|
59 |
},
|
60 |
{
|
61 |
-
"epoch":
|
62 |
-
"grad_norm": 0.
|
63 |
"learning_rate": 2.0000000000000003e-06,
|
64 |
-
"loss": 0.
|
65 |
"step": 400
|
66 |
},
|
67 |
{
|
68 |
-
"epoch":
|
69 |
-
"grad_norm":
|
70 |
"learning_rate": 2.25e-06,
|
71 |
-
"loss": 0.
|
72 |
"step": 450
|
73 |
},
|
74 |
{
|
75 |
-
"epoch":
|
76 |
-
"grad_norm":
|
77 |
"learning_rate": 2.5e-06,
|
78 |
-
"loss": 0.
|
79 |
"step": 500
|
80 |
},
|
81 |
{
|
82 |
-
"epoch":
|
83 |
-
"eval_loss": 0.
|
84 |
-
"eval_runtime":
|
85 |
-
"eval_samples_per_second":
|
86 |
-
"eval_steps_per_second":
|
87 |
"step": 500
|
88 |
},
|
89 |
{
|
90 |
-
"epoch":
|
91 |
-
"grad_norm": 0.
|
92 |
"learning_rate": 2.7500000000000004e-06,
|
93 |
-
"loss": 0.
|
94 |
"step": 550
|
95 |
},
|
96 |
{
|
97 |
-
"epoch":
|
98 |
-
"grad_norm": 0.
|
99 |
"learning_rate": 3e-06,
|
100 |
-
"loss": 0.
|
101 |
"step": 600
|
102 |
},
|
103 |
{
|
104 |
-
"epoch":
|
105 |
-
"grad_norm":
|
106 |
"learning_rate": 3.2500000000000002e-06,
|
107 |
-
"loss": 0.
|
108 |
"step": 650
|
109 |
},
|
110 |
{
|
111 |
-
"epoch":
|
112 |
-
"grad_norm": 0.
|
113 |
"learning_rate": 3.5e-06,
|
114 |
-
"loss": 0.
|
115 |
"step": 700
|
116 |
},
|
117 |
{
|
118 |
-
"epoch":
|
119 |
-
"grad_norm":
|
120 |
"learning_rate": 3.7500000000000005e-06,
|
121 |
-
"loss": 0.
|
122 |
"step": 750
|
123 |
},
|
124 |
{
|
125 |
-
"epoch":
|
126 |
-
"grad_norm": 0.
|
127 |
"learning_rate": 4.000000000000001e-06,
|
128 |
-
"loss": 0.
|
129 |
"step": 800
|
130 |
},
|
131 |
{
|
132 |
-
"epoch":
|
133 |
-
"grad_norm":
|
134 |
"learning_rate": 4.25e-06,
|
135 |
-
"loss": 0.
|
136 |
"step": 850
|
137 |
},
|
138 |
{
|
139 |
-
"epoch":
|
140 |
-
"grad_norm": 0.
|
141 |
"learning_rate": 4.5e-06,
|
142 |
-
"loss": 0.
|
143 |
"step": 900
|
144 |
},
|
145 |
{
|
146 |
-
"epoch":
|
147 |
-
"grad_norm": 0.
|
148 |
"learning_rate": 4.75e-06,
|
149 |
-
"loss": 0.
|
150 |
"step": 950
|
151 |
},
|
152 |
{
|
153 |
-
"epoch":
|
154 |
-
"grad_norm": 0.
|
155 |
"learning_rate": 5e-06,
|
156 |
-
"loss": 0.
|
157 |
"step": 1000
|
158 |
},
|
159 |
{
|
160 |
-
"epoch":
|
161 |
-
"eval_loss": 0.
|
162 |
-
"eval_runtime": 6.
|
163 |
-
"eval_samples_per_second":
|
164 |
-
"eval_steps_per_second": 3.
|
165 |
"step": 1000
|
166 |
},
|
167 |
{
|
168 |
-
"epoch":
|
169 |
-
"grad_norm": 0.
|
170 |
"learning_rate": 5.2500000000000006e-06,
|
171 |
-
"loss": 0.
|
172 |
"step": 1050
|
173 |
},
|
174 |
{
|
175 |
-
"epoch":
|
176 |
-
"grad_norm": 0.
|
177 |
"learning_rate": 5.500000000000001e-06,
|
178 |
-
"loss": 0.
|
179 |
"step": 1100
|
180 |
},
|
181 |
{
|
182 |
-
"epoch":
|
183 |
-
"grad_norm": 0.
|
184 |
"learning_rate": 5.75e-06,
|
185 |
-
"loss": 0.
|
186 |
"step": 1150
|
187 |
},
|
188 |
{
|
189 |
-
"epoch":
|
190 |
-
"grad_norm": 0.
|
191 |
"learning_rate": 6e-06,
|
192 |
-
"loss": 0.
|
193 |
"step": 1200
|
194 |
},
|
195 |
{
|
196 |
-
"epoch":
|
197 |
-
"grad_norm": 0.
|
198 |
"learning_rate": 6.25e-06,
|
199 |
-
"loss": 0.
|
200 |
"step": 1250
|
201 |
},
|
202 |
{
|
203 |
-
"epoch":
|
204 |
-
"grad_norm": 0.
|
205 |
"learning_rate": 6.5000000000000004e-06,
|
206 |
-
"loss": 0.
|
207 |
"step": 1300
|
208 |
},
|
209 |
{
|
210 |
-
"epoch":
|
211 |
-
"grad_norm":
|
212 |
"learning_rate": 6.750000000000001e-06,
|
213 |
-
"loss": 0.
|
214 |
"step": 1350
|
215 |
},
|
216 |
{
|
217 |
-
"epoch":
|
218 |
-
"grad_norm": 0.
|
219 |
"learning_rate": 7e-06,
|
220 |
-
"loss": 0.
|
221 |
"step": 1400
|
222 |
},
|
223 |
{
|
224 |
-
"epoch":
|
225 |
-
"grad_norm": 0.
|
226 |
"learning_rate": 7.25e-06,
|
227 |
-
"loss": 0.
|
228 |
"step": 1450
|
229 |
},
|
230 |
{
|
231 |
-
"epoch":
|
232 |
-
"grad_norm":
|
233 |
"learning_rate": 7.500000000000001e-06,
|
234 |
-
"loss": 0.
|
235 |
"step": 1500
|
236 |
},
|
237 |
{
|
238 |
-
"epoch":
|
239 |
-
"eval_loss": 0.
|
240 |
-
"eval_runtime":
|
241 |
-
"eval_samples_per_second": 24.
|
242 |
-
"eval_steps_per_second": 3.
|
243 |
"step": 1500
|
244 |
},
|
245 |
{
|
246 |
-
"epoch":
|
247 |
-
"grad_norm": 0.
|
248 |
"learning_rate": 7.75e-06,
|
249 |
-
"loss": 0.
|
250 |
"step": 1550
|
251 |
},
|
252 |
{
|
253 |
-
"epoch":
|
254 |
-
"grad_norm": 0.
|
255 |
"learning_rate": 8.000000000000001e-06,
|
256 |
-
"loss": 0.
|
257 |
"step": 1600
|
258 |
},
|
259 |
{
|
260 |
-
"epoch":
|
261 |
-
"grad_norm":
|
262 |
"learning_rate": 8.25e-06,
|
263 |
-
"loss": 0.
|
264 |
"step": 1650
|
265 |
},
|
266 |
{
|
267 |
-
"epoch":
|
268 |
-
"grad_norm":
|
269 |
"learning_rate": 8.5e-06,
|
270 |
-
"loss": 0.
|
271 |
"step": 1700
|
272 |
},
|
273 |
{
|
274 |
-
"epoch":
|
275 |
-
"grad_norm":
|
276 |
"learning_rate": 8.750000000000001e-06,
|
277 |
-
"loss": 0.
|
278 |
"step": 1750
|
279 |
},
|
280 |
{
|
281 |
-
"epoch":
|
282 |
-
"grad_norm": 1.
|
283 |
"learning_rate": 9e-06,
|
284 |
-
"loss": 0.
|
285 |
"step": 1800
|
286 |
},
|
287 |
{
|
288 |
-
"epoch":
|
289 |
-
"grad_norm": 0.
|
290 |
"learning_rate": 9.250000000000001e-06,
|
291 |
-
"loss": 0.
|
292 |
"step": 1850
|
293 |
},
|
294 |
{
|
295 |
-
"epoch":
|
296 |
-
"grad_norm":
|
297 |
"learning_rate": 9.5e-06,
|
298 |
-
"loss": 0.
|
299 |
"step": 1900
|
300 |
},
|
301 |
{
|
302 |
-
"epoch":
|
303 |
-
"grad_norm": 0.
|
304 |
"learning_rate": 9.75e-06,
|
305 |
-
"loss": 0.
|
306 |
"step": 1950
|
307 |
},
|
308 |
{
|
309 |
-
"epoch":
|
310 |
-
"grad_norm":
|
311 |
"learning_rate": 1e-05,
|
312 |
-
"loss": 0.
|
313 |
"step": 2000
|
314 |
},
|
315 |
{
|
316 |
-
"epoch":
|
317 |
-
"eval_loss": 0.
|
318 |
-
"eval_runtime":
|
319 |
-
"eval_samples_per_second":
|
320 |
-
"eval_steps_per_second":
|
321 |
"step": 2000
|
322 |
},
|
323 |
{
|
324 |
-
"epoch":
|
325 |
-
"grad_norm":
|
326 |
"learning_rate": 9.916666666666668e-06,
|
327 |
-
"loss": 0.
|
328 |
"step": 2050
|
329 |
},
|
330 |
{
|
331 |
-
"epoch":
|
332 |
-
"grad_norm":
|
333 |
-
"learning_rate": 9.
|
334 |
-
"loss": 0.
|
335 |
"step": 2100
|
336 |
},
|
337 |
{
|
338 |
-
"epoch":
|
339 |
-
"grad_norm":
|
340 |
-
"learning_rate": 9.
|
341 |
-
"loss": 0.
|
342 |
"step": 2150
|
343 |
},
|
344 |
{
|
345 |
-
"epoch":
|
346 |
-
"grad_norm": 0.
|
347 |
-
"learning_rate": 9.
|
348 |
-
"loss": 0.
|
349 |
"step": 2200
|
350 |
},
|
351 |
{
|
352 |
-
"epoch":
|
353 |
-
"grad_norm":
|
354 |
-
"learning_rate": 9.
|
355 |
-
"loss": 0.
|
356 |
"step": 2250
|
357 |
},
|
358 |
{
|
359 |
-
"epoch":
|
360 |
-
"grad_norm":
|
361 |
-
"learning_rate": 9.
|
362 |
-
"loss": 0.
|
363 |
"step": 2300
|
364 |
},
|
365 |
{
|
366 |
-
"epoch":
|
367 |
-
"grad_norm":
|
368 |
-
"learning_rate": 9.
|
369 |
-
"loss": 0.
|
370 |
"step": 2350
|
371 |
},
|
372 |
{
|
373 |
-
"epoch":
|
374 |
-
"grad_norm":
|
375 |
-
"learning_rate": 9.
|
376 |
-
"loss": 0.
|
377 |
"step": 2400
|
378 |
},
|
379 |
{
|
380 |
-
"epoch":
|
381 |
-
"grad_norm": 1.
|
382 |
-
"learning_rate": 9.
|
383 |
-
"loss": 0.
|
384 |
"step": 2450
|
385 |
},
|
386 |
{
|
387 |
-
"epoch":
|
388 |
-
"grad_norm":
|
389 |
-
"learning_rate": 9.
|
390 |
-
"loss": 0.
|
391 |
"step": 2500
|
392 |
},
|
393 |
{
|
394 |
-
"epoch":
|
395 |
-
"eval_loss": 0.
|
396 |
-
"eval_runtime":
|
397 |
-
"eval_samples_per_second":
|
398 |
-
"eval_steps_per_second":
|
399 |
"step": 2500
|
400 |
},
|
401 |
{
|
402 |
-
"epoch":
|
403 |
-
"grad_norm":
|
404 |
-
"learning_rate": 9.
|
405 |
-
"loss": 0.
|
406 |
"step": 2550
|
407 |
},
|
408 |
{
|
409 |
-
"epoch":
|
410 |
-
"grad_norm": 0.
|
411 |
-
"learning_rate":
|
412 |
-
"loss": 0.
|
413 |
"step": 2600
|
414 |
},
|
415 |
{
|
416 |
-
"epoch":
|
417 |
-
"grad_norm":
|
418 |
-
"learning_rate": 8.
|
419 |
-
"loss": 0.
|
420 |
"step": 2650
|
421 |
},
|
422 |
{
|
423 |
-
"epoch":
|
424 |
-
"grad_norm": 0.
|
425 |
-
"learning_rate": 8.
|
426 |
-
"loss": 0.
|
427 |
"step": 2700
|
428 |
},
|
429 |
{
|
430 |
-
"epoch":
|
431 |
-
"grad_norm": 0.
|
432 |
-
"learning_rate": 8.
|
433 |
-
"loss": 0.
|
434 |
"step": 2750
|
435 |
},
|
436 |
{
|
437 |
-
"epoch":
|
438 |
-
"grad_norm": 0.
|
439 |
-
"learning_rate": 8.
|
440 |
-
"loss": 0.
|
441 |
"step": 2800
|
442 |
},
|
443 |
{
|
444 |
-
"epoch":
|
445 |
-
"grad_norm": 0.
|
446 |
-
"learning_rate": 8.
|
447 |
-
"loss": 0.
|
448 |
"step": 2850
|
449 |
},
|
450 |
{
|
451 |
-
"epoch":
|
452 |
-
"grad_norm":
|
453 |
-
"learning_rate": 8.
|
454 |
-
"loss": 0.
|
455 |
"step": 2900
|
456 |
},
|
457 |
{
|
458 |
-
"epoch":
|
459 |
-
"grad_norm":
|
460 |
-
"learning_rate": 8.
|
461 |
-
"loss": 0.
|
462 |
"step": 2950
|
463 |
},
|
464 |
{
|
465 |
-
"epoch":
|
466 |
-
"grad_norm": 0.
|
467 |
-
"learning_rate": 8.
|
468 |
-
"loss": 0.
|
469 |
"step": 3000
|
470 |
},
|
471 |
{
|
472 |
-
"epoch":
|
473 |
-
"eval_loss": 0.
|
474 |
-
"eval_runtime":
|
475 |
-
"eval_samples_per_second": 24.
|
476 |
-
"eval_steps_per_second": 3.
|
477 |
"step": 3000
|
478 |
},
|
479 |
{
|
480 |
-
"epoch":
|
481 |
-
"grad_norm":
|
482 |
-
"learning_rate": 8.
|
483 |
-
"loss": 0.
|
484 |
"step": 3050
|
485 |
},
|
486 |
{
|
487 |
-
"epoch":
|
488 |
-
"grad_norm":
|
489 |
-
"learning_rate": 8.
|
490 |
-
"loss": 0.
|
491 |
"step": 3100
|
492 |
},
|
493 |
{
|
494 |
-
"epoch":
|
495 |
-
"grad_norm": 0.
|
496 |
-
"learning_rate": 8.
|
497 |
-
"loss": 0.
|
498 |
"step": 3150
|
499 |
},
|
500 |
{
|
501 |
-
"epoch":
|
502 |
-
"grad_norm": 0.
|
503 |
-
"learning_rate": 8.
|
504 |
-
"loss": 0.
|
505 |
"step": 3200
|
506 |
},
|
507 |
{
|
508 |
-
"epoch":
|
509 |
-
"grad_norm":
|
510 |
-
"learning_rate": 7.
|
511 |
-
"loss": 0.
|
512 |
"step": 3250
|
513 |
},
|
514 |
{
|
515 |
-
"epoch":
|
516 |
-
"grad_norm":
|
517 |
-
"learning_rate": 7.
|
518 |
-
"loss": 0.
|
519 |
"step": 3300
|
520 |
},
|
521 |
{
|
522 |
-
"epoch":
|
523 |
-
"grad_norm": 1.
|
524 |
-
"learning_rate": 7.
|
525 |
-
"loss": 0.
|
526 |
"step": 3350
|
527 |
},
|
528 |
{
|
529 |
-
"epoch":
|
530 |
-
"grad_norm":
|
531 |
-
"learning_rate": 7.
|
532 |
-
"loss": 0.
|
533 |
"step": 3400
|
534 |
},
|
535 |
{
|
536 |
-
"epoch":
|
537 |
-
"grad_norm":
|
538 |
-
"learning_rate": 7.
|
539 |
-
"loss": 0.
|
540 |
"step": 3450
|
541 |
},
|
542 |
{
|
543 |
-
"epoch":
|
544 |
-
"grad_norm": 0.
|
545 |
-
"learning_rate": 7.
|
546 |
-
"loss": 0.
|
547 |
"step": 3500
|
548 |
},
|
549 |
{
|
550 |
-
"epoch":
|
551 |
-
"eval_loss": 0.
|
552 |
-
"eval_runtime":
|
553 |
-
"eval_samples_per_second":
|
554 |
-
"eval_steps_per_second":
|
555 |
"step": 3500
|
556 |
},
|
557 |
{
|
558 |
-
"epoch":
|
559 |
-
"grad_norm":
|
560 |
-
"learning_rate": 7.
|
561 |
-
"loss": 0.
|
562 |
"step": 3550
|
563 |
},
|
564 |
{
|
565 |
-
"epoch":
|
566 |
-
"grad_norm":
|
567 |
-
"learning_rate": 7.
|
568 |
-
"loss": 0.
|
569 |
"step": 3600
|
570 |
},
|
571 |
{
|
572 |
-
"epoch":
|
573 |
-
"grad_norm": 0.
|
574 |
-
"learning_rate": 7.
|
575 |
-
"loss": 0.
|
576 |
"step": 3650
|
577 |
},
|
578 |
{
|
579 |
-
"epoch":
|
580 |
-
"grad_norm": 0.
|
581 |
-
"learning_rate": 7.
|
582 |
-
"loss": 0.
|
583 |
"step": 3700
|
584 |
},
|
585 |
{
|
586 |
-
"epoch":
|
587 |
-
"grad_norm":
|
588 |
-
"learning_rate": 7.
|
589 |
-
"loss": 0.
|
590 |
"step": 3750
|
591 |
},
|
592 |
{
|
593 |
-
"epoch":
|
594 |
-
"grad_norm": 0.
|
595 |
-
"learning_rate":
|
596 |
-
"loss": 0.
|
597 |
"step": 3800
|
598 |
},
|
599 |
{
|
600 |
-
"epoch":
|
601 |
-
"grad_norm":
|
602 |
-
"learning_rate": 6.
|
603 |
-
"loss": 0.
|
604 |
"step": 3850
|
605 |
},
|
606 |
{
|
607 |
-
"epoch":
|
608 |
-
"grad_norm": 0.
|
609 |
-
"learning_rate": 6.
|
610 |
-
"loss": 0.
|
611 |
"step": 3900
|
612 |
},
|
613 |
{
|
614 |
-
"epoch":
|
615 |
-
"grad_norm":
|
616 |
-
"learning_rate": 6.
|
617 |
-
"loss": 0.
|
618 |
"step": 3950
|
619 |
},
|
620 |
{
|
621 |
-
"epoch":
|
622 |
-
"grad_norm": 0.
|
623 |
-
"learning_rate": 6.
|
624 |
-
"loss": 0.
|
625 |
"step": 4000
|
626 |
},
|
627 |
{
|
628 |
-
"epoch":
|
629 |
-
"eval_loss": 0.
|
630 |
-
"eval_runtime":
|
631 |
-
"eval_samples_per_second":
|
632 |
-
"eval_steps_per_second": 3.
|
633 |
"step": 4000
|
634 |
},
|
635 |
{
|
636 |
-
"epoch":
|
637 |
-
"grad_norm":
|
638 |
-
"learning_rate": 6.
|
639 |
-
"loss": 0.
|
640 |
"step": 4050
|
641 |
},
|
642 |
{
|
643 |
-
"epoch":
|
644 |
-
"grad_norm":
|
645 |
-
"learning_rate": 6.
|
646 |
-
"loss": 0.
|
647 |
"step": 4100
|
648 |
},
|
649 |
{
|
650 |
-
"epoch":
|
651 |
-
"grad_norm": 0.
|
652 |
-
"learning_rate": 6.
|
653 |
-
"loss": 0.
|
654 |
"step": 4150
|
655 |
},
|
656 |
{
|
657 |
-
"epoch":
|
658 |
-
"grad_norm": 0.
|
659 |
-
"learning_rate": 6.
|
660 |
-
"loss": 0.
|
661 |
"step": 4200
|
662 |
},
|
663 |
{
|
664 |
-
"epoch":
|
665 |
-
"grad_norm": 0.
|
666 |
-
"learning_rate": 6.
|
667 |
-
"loss": 0.
|
668 |
"step": 4250
|
669 |
},
|
670 |
{
|
671 |
-
"epoch":
|
672 |
-
"grad_norm": 0.
|
673 |
-
"learning_rate": 6.
|
674 |
-
"loss": 0.
|
675 |
"step": 4300
|
676 |
},
|
677 |
{
|
678 |
-
"epoch":
|
679 |
-
"grad_norm": 0.
|
680 |
-
"learning_rate": 6.
|
681 |
-
"loss": 0.
|
682 |
"step": 4350
|
683 |
},
|
684 |
{
|
685 |
-
"epoch":
|
686 |
-
"grad_norm": 0.
|
687 |
-
"learning_rate": 6.
|
688 |
-
"loss": 0.
|
689 |
"step": 4400
|
690 |
},
|
691 |
{
|
692 |
-
"epoch":
|
693 |
-
"grad_norm":
|
694 |
-
"learning_rate": 5.
|
695 |
-
"loss": 0.
|
696 |
"step": 4450
|
697 |
},
|
698 |
{
|
699 |
-
"epoch":
|
700 |
-
"grad_norm": 0.
|
701 |
-
"learning_rate": 5.
|
702 |
-
"loss": 0.
|
703 |
"step": 4500
|
704 |
},
|
705 |
{
|
706 |
-
"epoch":
|
707 |
-
"eval_loss": 0.
|
708 |
-
"eval_runtime": 6.
|
709 |
-
"eval_samples_per_second":
|
710 |
-
"eval_steps_per_second": 3.
|
711 |
"step": 4500
|
712 |
},
|
713 |
{
|
714 |
-
"epoch":
|
715 |
-
"grad_norm": 0.
|
716 |
-
"learning_rate": 5.
|
717 |
-
"loss": 0.
|
718 |
"step": 4550
|
719 |
},
|
720 |
{
|
721 |
-
"epoch":
|
722 |
-
"grad_norm":
|
723 |
-
"learning_rate": 5.
|
724 |
-
"loss": 0.
|
725 |
"step": 4600
|
726 |
},
|
727 |
{
|
728 |
-
"epoch":
|
729 |
-
"grad_norm": 0.
|
730 |
-
"learning_rate": 5.
|
731 |
-
"loss": 0.
|
732 |
"step": 4650
|
733 |
},
|
734 |
{
|
735 |
-
"epoch":
|
736 |
-
"grad_norm":
|
737 |
-
"learning_rate": 5.
|
738 |
-
"loss": 0.
|
739 |
"step": 4700
|
740 |
},
|
741 |
{
|
742 |
-
"epoch":
|
743 |
-
"grad_norm":
|
744 |
-
"learning_rate": 5.
|
745 |
-
"loss": 0.
|
746 |
"step": 4750
|
747 |
},
|
748 |
{
|
749 |
-
"epoch":
|
750 |
-
"grad_norm": 0.
|
751 |
-
"learning_rate": 5.
|
752 |
-
"loss": 0.
|
753 |
"step": 4800
|
754 |
},
|
755 |
{
|
756 |
-
"epoch":
|
757 |
-
"grad_norm": 0.
|
758 |
-
"learning_rate": 5.
|
759 |
-
"loss": 0.
|
760 |
"step": 4850
|
761 |
},
|
762 |
{
|
763 |
-
"epoch":
|
764 |
-
"grad_norm": 0.
|
765 |
-
"learning_rate": 5.
|
766 |
-
"loss": 0.
|
767 |
"step": 4900
|
768 |
},
|
769 |
{
|
770 |
-
"epoch":
|
771 |
-
"grad_norm": 0.
|
772 |
-
"learning_rate": 5.
|
773 |
-
"loss": 0.
|
774 |
"step": 4950
|
775 |
},
|
776 |
{
|
777 |
-
"epoch":
|
778 |
-
"grad_norm": 0.
|
779 |
-
"learning_rate": 5.
|
780 |
-
"loss": 0.
|
781 |
"step": 5000
|
782 |
},
|
783 |
{
|
784 |
-
"epoch":
|
785 |
-
"eval_loss": 0.
|
786 |
-
"eval_runtime":
|
787 |
-
"eval_samples_per_second": 24.
|
788 |
-
"eval_steps_per_second": 3.
|
789 |
"step": 5000
|
790 |
},
|
791 |
{
|
792 |
-
"epoch":
|
793 |
-
"grad_norm":
|
794 |
-
"learning_rate": 4.
|
795 |
-
"loss": 0.
|
796 |
"step": 5050
|
797 |
},
|
798 |
{
|
799 |
-
"epoch":
|
800 |
-
"grad_norm": 0.
|
801 |
-
"learning_rate": 4.
|
802 |
-
"loss": 0.
|
803 |
"step": 5100
|
804 |
},
|
805 |
{
|
806 |
-
"epoch":
|
807 |
-
"grad_norm": 0.
|
808 |
-
"learning_rate": 4.
|
809 |
-
"loss": 0.
|
810 |
"step": 5150
|
811 |
},
|
812 |
{
|
813 |
-
"epoch":
|
814 |
-
"grad_norm": 0.
|
815 |
-
"learning_rate": 4.
|
816 |
-
"loss": 0.
|
817 |
"step": 5200
|
818 |
},
|
819 |
{
|
820 |
-
"epoch":
|
821 |
-
"grad_norm": 0.
|
822 |
-
"learning_rate": 4.
|
823 |
-
"loss": 0.
|
824 |
"step": 5250
|
825 |
},
|
826 |
{
|
827 |
-
"epoch":
|
828 |
-
"grad_norm":
|
829 |
-
"learning_rate": 4.
|
830 |
-
"loss": 0.
|
831 |
"step": 5300
|
832 |
},
|
833 |
{
|
834 |
-
"epoch":
|
835 |
-
"grad_norm": 0.
|
836 |
-
"learning_rate": 4.
|
837 |
-
"loss": 0.
|
838 |
"step": 5350
|
839 |
},
|
840 |
{
|
841 |
-
"epoch":
|
842 |
-
"grad_norm": 0.
|
843 |
-
"learning_rate": 4.
|
844 |
-
"loss": 0.
|
845 |
"step": 5400
|
846 |
},
|
847 |
{
|
848 |
-
"epoch":
|
849 |
-
"grad_norm":
|
850 |
-
"learning_rate": 4.
|
851 |
-
"loss": 0.
|
852 |
"step": 5450
|
853 |
},
|
854 |
{
|
855 |
-
"epoch":
|
856 |
-
"grad_norm":
|
857 |
-
"learning_rate": 4.
|
858 |
-
"loss": 0.
|
859 |
"step": 5500
|
860 |
},
|
861 |
{
|
862 |
-
"epoch":
|
863 |
-
"eval_loss": 0.
|
864 |
-
"eval_runtime":
|
865 |
-
"eval_samples_per_second": 24.
|
866 |
-
"eval_steps_per_second": 3.
|
867 |
"step": 5500
|
868 |
},
|
869 |
{
|
870 |
-
"epoch":
|
871 |
-
"grad_norm": 0.
|
872 |
-
"learning_rate": 4.
|
873 |
-
"loss": 0.
|
874 |
"step": 5550
|
875 |
},
|
876 |
{
|
877 |
-
"epoch":
|
878 |
-
"grad_norm": 0.
|
879 |
-
"learning_rate": 4.
|
880 |
-
"loss": 0.
|
881 |
"step": 5600
|
882 |
},
|
883 |
{
|
884 |
-
"epoch":
|
885 |
-
"grad_norm":
|
886 |
-
"learning_rate": 3.
|
887 |
-
"loss": 0.
|
888 |
"step": 5650
|
889 |
},
|
890 |
{
|
891 |
-
"epoch":
|
892 |
-
"grad_norm": 0.
|
893 |
-
"learning_rate": 3.
|
894 |
-
"loss": 0.
|
895 |
"step": 5700
|
896 |
},
|
897 |
{
|
898 |
-
"epoch":
|
899 |
-
"grad_norm":
|
900 |
-
"learning_rate": 3.
|
901 |
-
"loss": 0.
|
902 |
"step": 5750
|
903 |
},
|
904 |
{
|
905 |
-
"epoch":
|
906 |
-
"grad_norm":
|
907 |
-
"learning_rate": 3.
|
908 |
-
"loss": 0.
|
909 |
"step": 5800
|
910 |
},
|
911 |
{
|
912 |
-
"epoch":
|
913 |
-
"grad_norm": 0.
|
914 |
-
"learning_rate": 3.
|
915 |
-
"loss": 0.
|
916 |
"step": 5850
|
917 |
},
|
918 |
{
|
919 |
-
"epoch":
|
920 |
-
"grad_norm": 0.
|
921 |
-
"learning_rate": 3.
|
922 |
-
"loss": 0.
|
923 |
"step": 5900
|
924 |
},
|
925 |
{
|
926 |
-
"epoch":
|
927 |
-
"grad_norm":
|
928 |
-
"learning_rate": 3.
|
929 |
-
"loss": 0.
|
930 |
"step": 5950
|
931 |
},
|
932 |
{
|
933 |
-
"epoch":
|
934 |
-
"grad_norm": 0.
|
935 |
-
"learning_rate": 3.
|
936 |
-
"loss": 0.
|
937 |
"step": 6000
|
938 |
},
|
939 |
{
|
940 |
-
"epoch":
|
941 |
-
"eval_loss": 0.
|
942 |
-
"eval_runtime":
|
943 |
-
"eval_samples_per_second": 24.
|
944 |
-
"eval_steps_per_second": 3.
|
945 |
"step": 6000
|
946 |
},
|
947 |
{
|
948 |
-
"epoch":
|
949 |
-
"grad_norm": 0.
|
950 |
-
"learning_rate": 3.
|
951 |
-
"loss": 0.
|
952 |
"step": 6050
|
953 |
},
|
954 |
{
|
955 |
-
"epoch":
|
956 |
-
"grad_norm": 0.
|
957 |
-
"learning_rate": 3.
|
958 |
-
"loss": 0.
|
959 |
"step": 6100
|
960 |
},
|
961 |
{
|
962 |
-
"epoch":
|
963 |
-
"grad_norm": 0.
|
964 |
-
"learning_rate": 3.
|
965 |
-
"loss": 0.
|
966 |
"step": 6150
|
967 |
},
|
968 |
{
|
969 |
-
"epoch":
|
970 |
-
"grad_norm":
|
971 |
-
"learning_rate": 3.
|
972 |
-
"loss": 0.
|
973 |
"step": 6200
|
974 |
},
|
975 |
{
|
976 |
-
"epoch":
|
977 |
-
"grad_norm": 0.
|
978 |
-
"learning_rate": 2.
|
979 |
-
"loss": 0.
|
980 |
"step": 6250
|
981 |
},
|
982 |
{
|
983 |
-
"epoch":
|
984 |
-
"grad_norm": 0.
|
985 |
-
"learning_rate": 2.
|
986 |
-
"loss": 0.
|
987 |
"step": 6300
|
988 |
},
|
989 |
{
|
990 |
-
"epoch":
|
991 |
-
"grad_norm": 0.
|
992 |
-
"learning_rate": 2.
|
993 |
-
"loss": 0.
|
994 |
"step": 6350
|
995 |
},
|
996 |
{
|
997 |
-
"epoch":
|
998 |
-
"grad_norm":
|
999 |
-
"learning_rate": 2.
|
1000 |
-
"loss": 0.
|
1001 |
"step": 6400
|
1002 |
},
|
1003 |
{
|
1004 |
-
"epoch":
|
1005 |
-
"grad_norm": 0.
|
1006 |
-
"learning_rate": 2.
|
1007 |
-
"loss": 0.
|
1008 |
"step": 6450
|
1009 |
},
|
1010 |
{
|
1011 |
-
"epoch":
|
1012 |
-
"grad_norm": 0.
|
1013 |
-
"learning_rate": 2.
|
1014 |
-
"loss": 0.
|
1015 |
"step": 6500
|
1016 |
},
|
1017 |
{
|
1018 |
-
"epoch":
|
1019 |
-
"eval_loss": 0.
|
1020 |
-
"eval_runtime":
|
1021 |
-
"eval_samples_per_second":
|
1022 |
-
"eval_steps_per_second": 2.
|
1023 |
"step": 6500
|
1024 |
},
|
1025 |
{
|
1026 |
-
"epoch":
|
1027 |
-
"grad_norm": 0.
|
1028 |
-
"learning_rate": 2.
|
1029 |
-
"loss": 0.
|
1030 |
"step": 6550
|
1031 |
},
|
1032 |
{
|
1033 |
-
"epoch":
|
1034 |
-
"grad_norm": 0.
|
1035 |
-
"learning_rate": 2.
|
1036 |
-
"loss": 0.
|
1037 |
"step": 6600
|
1038 |
},
|
1039 |
{
|
1040 |
-
"epoch":
|
1041 |
-
"grad_norm": 0.
|
1042 |
-
"learning_rate": 2.
|
1043 |
-
"loss": 0.
|
1044 |
"step": 6650
|
1045 |
},
|
1046 |
{
|
1047 |
-
"epoch":
|
1048 |
-
"grad_norm": 0.
|
1049 |
-
"learning_rate": 2.
|
1050 |
-
"loss": 0.
|
1051 |
"step": 6700
|
1052 |
},
|
1053 |
{
|
1054 |
-
"epoch":
|
1055 |
-
"grad_norm": 0.
|
1056 |
-
"learning_rate": 2.
|
1057 |
-
"loss": 0.
|
1058 |
"step": 6750
|
1059 |
},
|
1060 |
{
|
1061 |
-
"epoch":
|
1062 |
-
"grad_norm": 0.
|
1063 |
-
"learning_rate": 2.
|
1064 |
-
"loss": 0.
|
1065 |
"step": 6800
|
1066 |
},
|
1067 |
{
|
1068 |
-
"epoch":
|
1069 |
-
"grad_norm": 0.
|
1070 |
-
"learning_rate": 1.
|
1071 |
-
"loss": 0.
|
1072 |
"step": 6850
|
1073 |
},
|
1074 |
{
|
1075 |
-
"epoch":
|
1076 |
-
"grad_norm":
|
1077 |
-
"learning_rate": 1.
|
1078 |
-
"loss": 0.
|
1079 |
"step": 6900
|
1080 |
},
|
1081 |
{
|
1082 |
-
"epoch":
|
1083 |
-
"grad_norm": 0.
|
1084 |
-
"learning_rate": 1.
|
1085 |
-
"loss": 0.
|
1086 |
"step": 6950
|
1087 |
},
|
1088 |
{
|
1089 |
-
"epoch":
|
1090 |
-
"grad_norm":
|
1091 |
-
"learning_rate": 1.
|
1092 |
-
"loss": 0.
|
1093 |
"step": 7000
|
1094 |
},
|
1095 |
{
|
1096 |
-
"epoch":
|
1097 |
-
"eval_loss": 0.
|
1098 |
-
"eval_runtime": 6.
|
1099 |
-
"eval_samples_per_second":
|
1100 |
-
"eval_steps_per_second": 3.
|
1101 |
"step": 7000
|
1102 |
},
|
1103 |
{
|
1104 |
-
"epoch":
|
1105 |
-
"grad_norm": 0.
|
1106 |
-
"learning_rate": 1.
|
1107 |
-
"loss": 0.
|
1108 |
"step": 7050
|
1109 |
},
|
1110 |
{
|
1111 |
-
"epoch":
|
1112 |
-
"grad_norm": 0.
|
1113 |
-
"learning_rate": 1.
|
1114 |
-
"loss": 0.
|
1115 |
"step": 7100
|
1116 |
},
|
1117 |
{
|
1118 |
-
"epoch":
|
1119 |
-
"grad_norm": 0.
|
1120 |
-
"learning_rate": 1.
|
1121 |
-
"loss": 0.
|
1122 |
"step": 7150
|
1123 |
},
|
1124 |
{
|
1125 |
-
"epoch":
|
1126 |
-
"grad_norm": 0.
|
1127 |
-
"learning_rate": 1.
|
1128 |
-
"loss": 0.
|
1129 |
"step": 7200
|
1130 |
},
|
1131 |
{
|
1132 |
-
"epoch":
|
1133 |
-
"grad_norm": 0.
|
1134 |
-
"learning_rate": 1.
|
1135 |
-
"loss": 0.
|
1136 |
"step": 7250
|
1137 |
},
|
1138 |
{
|
1139 |
-
"epoch":
|
1140 |
-
"grad_norm": 0.
|
1141 |
-
"learning_rate": 1.
|
1142 |
-
"loss": 0.
|
1143 |
"step": 7300
|
1144 |
},
|
1145 |
{
|
1146 |
-
"epoch":
|
1147 |
-
"grad_norm": 0.
|
1148 |
-
"learning_rate": 1.
|
1149 |
-
"loss": 0.
|
1150 |
"step": 7350
|
1151 |
},
|
1152 |
{
|
1153 |
-
"epoch":
|
1154 |
-
"grad_norm": 0.
|
1155 |
-
"learning_rate": 1.
|
1156 |
-
"loss": 0.
|
1157 |
"step": 7400
|
1158 |
},
|
1159 |
{
|
1160 |
-
"epoch":
|
1161 |
-
"grad_norm": 0.
|
1162 |
-
"learning_rate": 9.
|
1163 |
-
"loss": 0.
|
1164 |
"step": 7450
|
1165 |
},
|
1166 |
{
|
1167 |
-
"epoch":
|
1168 |
-
"grad_norm": 0.
|
1169 |
-
"learning_rate": 8.
|
1170 |
-
"loss": 0.
|
1171 |
"step": 7500
|
1172 |
},
|
1173 |
{
|
1174 |
-
"epoch":
|
1175 |
-
"eval_loss": 0.
|
1176 |
-
"eval_runtime":
|
1177 |
-
"eval_samples_per_second":
|
1178 |
-
"eval_steps_per_second": 2.
|
1179 |
"step": 7500
|
1180 |
},
|
1181 |
{
|
1182 |
-
"epoch":
|
1183 |
-
"grad_norm": 0.
|
1184 |
-
"learning_rate": 7.
|
1185 |
-
"loss": 0.
|
1186 |
"step": 7550
|
1187 |
},
|
1188 |
{
|
1189 |
-
"epoch":
|
1190 |
-
"grad_norm": 0.
|
1191 |
-
"learning_rate": 6.
|
1192 |
"loss": 0.3874,
|
1193 |
"step": 7600
|
1194 |
},
|
1195 |
{
|
1196 |
-
"epoch":
|
1197 |
-
"grad_norm": 0.
|
1198 |
-
"learning_rate": 5.
|
1199 |
-
"loss": 0.
|
1200 |
"step": 7650
|
1201 |
},
|
1202 |
{
|
1203 |
-
"epoch":
|
1204 |
-
"grad_norm": 0.
|
1205 |
-
"learning_rate": 5.
|
1206 |
-
"loss": 0.
|
1207 |
"step": 7700
|
1208 |
},
|
1209 |
{
|
1210 |
-
"epoch":
|
1211 |
-
"grad_norm": 0.
|
1212 |
-
"learning_rate": 4.
|
1213 |
-
"loss": 0.
|
1214 |
"step": 7750
|
1215 |
},
|
1216 |
{
|
1217 |
-
"epoch":
|
1218 |
-
"grad_norm": 0.
|
1219 |
-
"learning_rate": 3.
|
1220 |
-
"loss": 0.
|
1221 |
"step": 7800
|
1222 |
},
|
1223 |
{
|
1224 |
-
"epoch":
|
1225 |
-
"grad_norm": 0.
|
1226 |
-
"learning_rate": 2.
|
1227 |
-
"loss": 0.
|
1228 |
"step": 7850
|
1229 |
},
|
1230 |
{
|
1231 |
-
"epoch":
|
1232 |
-
"grad_norm": 0.
|
1233 |
-
"learning_rate": 1.
|
1234 |
-
"loss": 0.
|
1235 |
"step": 7900
|
1236 |
},
|
1237 |
{
|
1238 |
-
"epoch":
|
1239 |
-
"grad_norm":
|
1240 |
-
"learning_rate": 8.
|
1241 |
-
"loss": 0.
|
1242 |
"step": 7950
|
1243 |
},
|
1244 |
{
|
1245 |
-
"epoch":
|
1246 |
-
"grad_norm": 0.
|
1247 |
-
"learning_rate":
|
1248 |
-
"loss": 0.
|
1249 |
"step": 8000
|
1250 |
},
|
1251 |
{
|
1252 |
-
"epoch":
|
1253 |
-
"eval_loss": 0.
|
1254 |
-
"eval_runtime":
|
1255 |
-
"eval_samples_per_second":
|
1256 |
-
"eval_steps_per_second": 3.
|
1257 |
"step": 8000
|
1258 |
}
|
1259 |
],
|
1260 |
"logging_steps": 50,
|
1261 |
"max_steps": 8000,
|
1262 |
"num_input_tokens_seen": 0,
|
1263 |
-
"num_train_epochs":
|
1264 |
"save_steps": 500,
|
1265 |
"stateful_callbacks": {
|
1266 |
"TrainerControl": {
|
@@ -1274,8 +1274,8 @@
|
|
1274 |
"attributes": {}
|
1275 |
}
|
1276 |
},
|
1277 |
-
"total_flos":
|
1278 |
-
"train_batch_size":
|
1279 |
"trial_name": null,
|
1280 |
"trial_params": null
|
1281 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.3926040828227997,
|
3 |
+
"best_model_checkpoint": "mikhail-panzo/zlm-fil-ceb_b64_le5_s8000/checkpoint-6500",
|
4 |
+
"epoch": 316.83168316831683,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 8000,
|
7 |
"is_hyper_param_search": false,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 1.9801980198019802,
|
13 |
+
"grad_norm": 1.2683665752410889,
|
14 |
"learning_rate": 2.5000000000000004e-07,
|
15 |
+
"loss": 0.4932,
|
16 |
"step": 50
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 3.9603960396039604,
|
20 |
+
"grad_norm": 1.1266463994979858,
|
21 |
"learning_rate": 5.000000000000001e-07,
|
22 |
+
"loss": 0.4898,
|
23 |
"step": 100
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 5.9405940594059405,
|
27 |
+
"grad_norm": 1.1800968647003174,
|
28 |
"learning_rate": 7.5e-07,
|
29 |
+
"loss": 0.4839,
|
30 |
"step": 150
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 7.920792079207921,
|
34 |
+
"grad_norm": 0.8235568404197693,
|
35 |
"learning_rate": 1.0000000000000002e-06,
|
36 |
+
"loss": 0.4785,
|
37 |
"step": 200
|
38 |
},
|
39 |
{
|
40 |
+
"epoch": 9.900990099009901,
|
41 |
+
"grad_norm": 1.313211441040039,
|
42 |
"learning_rate": 1.25e-06,
|
43 |
+
"loss": 0.4767,
|
44 |
"step": 250
|
45 |
},
|
46 |
{
|
47 |
+
"epoch": 11.881188118811881,
|
48 |
+
"grad_norm": 0.7831560373306274,
|
49 |
"learning_rate": 1.5e-06,
|
50 |
+
"loss": 0.4681,
|
51 |
"step": 300
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 13.861386138613861,
|
55 |
+
"grad_norm": 0.7987237572669983,
|
56 |
"learning_rate": 1.75e-06,
|
57 |
+
"loss": 0.4658,
|
58 |
"step": 350
|
59 |
},
|
60 |
{
|
61 |
+
"epoch": 15.841584158415841,
|
62 |
+
"grad_norm": 0.7143813371658325,
|
63 |
"learning_rate": 2.0000000000000003e-06,
|
64 |
+
"loss": 0.4627,
|
65 |
"step": 400
|
66 |
},
|
67 |
{
|
68 |
+
"epoch": 17.821782178217823,
|
69 |
+
"grad_norm": 0.8037531971931458,
|
70 |
"learning_rate": 2.25e-06,
|
71 |
+
"loss": 0.461,
|
72 |
"step": 450
|
73 |
},
|
74 |
{
|
75 |
+
"epoch": 19.801980198019802,
|
76 |
+
"grad_norm": 0.79031902551651,
|
77 |
"learning_rate": 2.5e-06,
|
78 |
+
"loss": 0.4592,
|
79 |
"step": 500
|
80 |
},
|
81 |
{
|
82 |
+
"epoch": 19.801980198019802,
|
83 |
+
"eval_loss": 0.42528408765792847,
|
84 |
+
"eval_runtime": 7.8982,
|
85 |
+
"eval_samples_per_second": 22.79,
|
86 |
+
"eval_steps_per_second": 2.912,
|
87 |
"step": 500
|
88 |
},
|
89 |
{
|
90 |
+
"epoch": 21.782178217821784,
|
91 |
+
"grad_norm": 0.7966288328170776,
|
92 |
"learning_rate": 2.7500000000000004e-06,
|
93 |
+
"loss": 0.4551,
|
94 |
"step": 550
|
95 |
},
|
96 |
{
|
97 |
+
"epoch": 23.762376237623762,
|
98 |
+
"grad_norm": 0.8126183152198792,
|
99 |
"learning_rate": 3e-06,
|
100 |
+
"loss": 0.4542,
|
101 |
"step": 600
|
102 |
},
|
103 |
{
|
104 |
+
"epoch": 25.742574257425744,
|
105 |
+
"grad_norm": 0.6602805852890015,
|
106 |
"learning_rate": 3.2500000000000002e-06,
|
107 |
+
"loss": 0.4535,
|
108 |
"step": 650
|
109 |
},
|
110 |
{
|
111 |
+
"epoch": 27.722772277227723,
|
112 |
+
"grad_norm": 0.7177000641822815,
|
113 |
"learning_rate": 3.5e-06,
|
114 |
+
"loss": 0.4484,
|
115 |
"step": 700
|
116 |
},
|
117 |
{
|
118 |
+
"epoch": 29.702970297029704,
|
119 |
+
"grad_norm": 0.7912996411323547,
|
120 |
"learning_rate": 3.7500000000000005e-06,
|
121 |
+
"loss": 0.4486,
|
122 |
"step": 750
|
123 |
},
|
124 |
{
|
125 |
+
"epoch": 31.683168316831683,
|
126 |
+
"grad_norm": 0.6251747608184814,
|
127 |
"learning_rate": 4.000000000000001e-06,
|
128 |
+
"loss": 0.4463,
|
129 |
"step": 800
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 33.663366336633665,
|
133 |
+
"grad_norm": 1.003780722618103,
|
134 |
"learning_rate": 4.25e-06,
|
135 |
+
"loss": 0.4474,
|
136 |
"step": 850
|
137 |
},
|
138 |
{
|
139 |
+
"epoch": 35.64356435643565,
|
140 |
+
"grad_norm": 0.742171585559845,
|
141 |
"learning_rate": 4.5e-06,
|
142 |
+
"loss": 0.4434,
|
143 |
"step": 900
|
144 |
},
|
145 |
{
|
146 |
+
"epoch": 37.62376237623762,
|
147 |
+
"grad_norm": 0.6034647822380066,
|
148 |
"learning_rate": 4.75e-06,
|
149 |
+
"loss": 0.4425,
|
150 |
"step": 950
|
151 |
},
|
152 |
{
|
153 |
+
"epoch": 39.603960396039604,
|
154 |
+
"grad_norm": 0.6990635395050049,
|
155 |
"learning_rate": 5e-06,
|
156 |
+
"loss": 0.4381,
|
157 |
"step": 1000
|
158 |
},
|
159 |
{
|
160 |
+
"epoch": 39.603960396039604,
|
161 |
+
"eval_loss": 0.41002073884010315,
|
162 |
+
"eval_runtime": 6.7782,
|
163 |
+
"eval_samples_per_second": 26.556,
|
164 |
+
"eval_steps_per_second": 3.393,
|
165 |
"step": 1000
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 41.584158415841586,
|
169 |
+
"grad_norm": 0.9420008659362793,
|
170 |
"learning_rate": 5.2500000000000006e-06,
|
171 |
+
"loss": 0.4421,
|
172 |
"step": 1050
|
173 |
},
|
174 |
{
|
175 |
+
"epoch": 43.56435643564357,
|
176 |
+
"grad_norm": 0.7143107652664185,
|
177 |
"learning_rate": 5.500000000000001e-06,
|
178 |
+
"loss": 0.4389,
|
179 |
"step": 1100
|
180 |
},
|
181 |
{
|
182 |
+
"epoch": 45.54455445544554,
|
183 |
+
"grad_norm": 0.7934616804122925,
|
184 |
"learning_rate": 5.75e-06,
|
185 |
+
"loss": 0.4369,
|
186 |
"step": 1150
|
187 |
},
|
188 |
{
|
189 |
+
"epoch": 47.524752475247524,
|
190 |
+
"grad_norm": 0.9682563543319702,
|
191 |
"learning_rate": 6e-06,
|
192 |
+
"loss": 0.4355,
|
193 |
"step": 1200
|
194 |
},
|
195 |
{
|
196 |
+
"epoch": 49.504950495049506,
|
197 |
+
"grad_norm": 0.7880070209503174,
|
198 |
"learning_rate": 6.25e-06,
|
199 |
+
"loss": 0.4359,
|
200 |
"step": 1250
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 51.48514851485149,
|
204 |
+
"grad_norm": 0.8443828821182251,
|
205 |
"learning_rate": 6.5000000000000004e-06,
|
206 |
+
"loss": 0.4324,
|
207 |
"step": 1300
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 53.46534653465346,
|
211 |
+
"grad_norm": 0.724743127822876,
|
212 |
"learning_rate": 6.750000000000001e-06,
|
213 |
+
"loss": 0.4348,
|
214 |
"step": 1350
|
215 |
},
|
216 |
{
|
217 |
+
"epoch": 55.445544554455445,
|
218 |
+
"grad_norm": 0.7557791471481323,
|
219 |
"learning_rate": 7e-06,
|
220 |
+
"loss": 0.433,
|
221 |
"step": 1400
|
222 |
},
|
223 |
{
|
224 |
+
"epoch": 57.42574257425743,
|
225 |
+
"grad_norm": 0.7936097383499146,
|
226 |
"learning_rate": 7.25e-06,
|
227 |
+
"loss": 0.4273,
|
228 |
"step": 1450
|
229 |
},
|
230 |
{
|
231 |
+
"epoch": 59.40594059405941,
|
232 |
+
"grad_norm": 0.7041624784469604,
|
233 |
"learning_rate": 7.500000000000001e-06,
|
234 |
+
"loss": 0.4281,
|
235 |
"step": 1500
|
236 |
},
|
237 |
{
|
238 |
+
"epoch": 59.40594059405941,
|
239 |
+
"eval_loss": 0.40218469500541687,
|
240 |
+
"eval_runtime": 7.4309,
|
241 |
+
"eval_samples_per_second": 24.223,
|
242 |
+
"eval_steps_per_second": 3.095,
|
243 |
"step": 1500
|
244 |
},
|
245 |
{
|
246 |
+
"epoch": 61.386138613861384,
|
247 |
+
"grad_norm": 0.9194286465644836,
|
248 |
"learning_rate": 7.75e-06,
|
249 |
+
"loss": 0.4275,
|
250 |
"step": 1550
|
251 |
},
|
252 |
{
|
253 |
+
"epoch": 63.366336633663366,
|
254 |
+
"grad_norm": 0.7239477634429932,
|
255 |
"learning_rate": 8.000000000000001e-06,
|
256 |
+
"loss": 0.4245,
|
257 |
"step": 1600
|
258 |
},
|
259 |
{
|
260 |
+
"epoch": 65.34653465346534,
|
261 |
+
"grad_norm": 0.7235706448554993,
|
262 |
"learning_rate": 8.25e-06,
|
263 |
+
"loss": 0.4248,
|
264 |
"step": 1650
|
265 |
},
|
266 |
{
|
267 |
+
"epoch": 67.32673267326733,
|
268 |
+
"grad_norm": 0.7281640768051147,
|
269 |
"learning_rate": 8.5e-06,
|
270 |
+
"loss": 0.425,
|
271 |
"step": 1700
|
272 |
},
|
273 |
{
|
274 |
+
"epoch": 69.3069306930693,
|
275 |
+
"grad_norm": 1.011294960975647,
|
276 |
"learning_rate": 8.750000000000001e-06,
|
277 |
+
"loss": 0.4238,
|
278 |
"step": 1750
|
279 |
},
|
280 |
{
|
281 |
+
"epoch": 71.2871287128713,
|
282 |
+
"grad_norm": 1.1249107122421265,
|
283 |
"learning_rate": 9e-06,
|
284 |
+
"loss": 0.4203,
|
285 |
"step": 1800
|
286 |
},
|
287 |
{
|
288 |
+
"epoch": 73.26732673267327,
|
289 |
+
"grad_norm": 0.7369679808616638,
|
290 |
"learning_rate": 9.250000000000001e-06,
|
291 |
+
"loss": 0.422,
|
292 |
"step": 1850
|
293 |
},
|
294 |
{
|
295 |
+
"epoch": 75.24752475247524,
|
296 |
+
"grad_norm": 0.704367995262146,
|
297 |
"learning_rate": 9.5e-06,
|
298 |
+
"loss": 0.4201,
|
299 |
"step": 1900
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 77.22772277227723,
|
303 |
+
"grad_norm": 0.8307437896728516,
|
304 |
"learning_rate": 9.75e-06,
|
305 |
+
"loss": 0.4203,
|
306 |
"step": 1950
|
307 |
},
|
308 |
{
|
309 |
+
"epoch": 79.20792079207921,
|
310 |
+
"grad_norm": 0.7827133536338806,
|
311 |
"learning_rate": 1e-05,
|
312 |
+
"loss": 0.4195,
|
313 |
"step": 2000
|
314 |
},
|
315 |
{
|
316 |
+
"epoch": 79.20792079207921,
|
317 |
+
"eval_loss": 0.39878609776496887,
|
318 |
+
"eval_runtime": 8.1579,
|
319 |
+
"eval_samples_per_second": 22.064,
|
320 |
+
"eval_steps_per_second": 2.819,
|
321 |
"step": 2000
|
322 |
},
|
323 |
{
|
324 |
+
"epoch": 81.18811881188118,
|
325 |
+
"grad_norm": 0.8909313082695007,
|
326 |
"learning_rate": 9.916666666666668e-06,
|
327 |
+
"loss": 0.4203,
|
328 |
"step": 2050
|
329 |
},
|
330 |
{
|
331 |
+
"epoch": 83.16831683168317,
|
332 |
+
"grad_norm": 0.7147483825683594,
|
333 |
+
"learning_rate": 9.833333333333333e-06,
|
334 |
+
"loss": 0.418,
|
335 |
"step": 2100
|
336 |
},
|
337 |
{
|
338 |
+
"epoch": 85.14851485148515,
|
339 |
+
"grad_norm": 0.6844545006752014,
|
340 |
+
"learning_rate": 9.75e-06,
|
341 |
+
"loss": 0.4167,
|
342 |
"step": 2150
|
343 |
},
|
344 |
{
|
345 |
+
"epoch": 87.12871287128714,
|
346 |
+
"grad_norm": 0.88512122631073,
|
347 |
+
"learning_rate": 9.666666666666667e-06,
|
348 |
+
"loss": 0.4108,
|
349 |
"step": 2200
|
350 |
},
|
351 |
{
|
352 |
+
"epoch": 89.10891089108911,
|
353 |
+
"grad_norm": 0.7097252607345581,
|
354 |
+
"learning_rate": 9.583333333333335e-06,
|
355 |
+
"loss": 0.4135,
|
356 |
"step": 2250
|
357 |
},
|
358 |
{
|
359 |
+
"epoch": 91.08910891089108,
|
360 |
+
"grad_norm": 0.8400272727012634,
|
361 |
+
"learning_rate": 9.5e-06,
|
362 |
+
"loss": 0.4147,
|
363 |
"step": 2300
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 93.06930693069307,
|
367 |
+
"grad_norm": 0.7614939212799072,
|
368 |
+
"learning_rate": 9.416666666666667e-06,
|
369 |
+
"loss": 0.4119,
|
370 |
"step": 2350
|
371 |
},
|
372 |
{
|
373 |
+
"epoch": 95.04950495049505,
|
374 |
+
"grad_norm": 0.8099732995033264,
|
375 |
+
"learning_rate": 9.333333333333334e-06,
|
376 |
+
"loss": 0.4108,
|
377 |
"step": 2400
|
378 |
},
|
379 |
{
|
380 |
+
"epoch": 97.02970297029702,
|
381 |
+
"grad_norm": 1.0697815418243408,
|
382 |
+
"learning_rate": 9.250000000000001e-06,
|
383 |
+
"loss": 0.4095,
|
384 |
"step": 2450
|
385 |
},
|
386 |
{
|
387 |
+
"epoch": 99.00990099009901,
|
388 |
+
"grad_norm": 0.7235235571861267,
|
389 |
+
"learning_rate": 9.166666666666666e-06,
|
390 |
+
"loss": 0.4134,
|
391 |
"step": 2500
|
392 |
},
|
393 |
{
|
394 |
+
"epoch": 99.00990099009901,
|
395 |
+
"eval_loss": 0.39545077085494995,
|
396 |
+
"eval_runtime": 7.724,
|
397 |
+
"eval_samples_per_second": 23.304,
|
398 |
+
"eval_steps_per_second": 2.978,
|
399 |
"step": 2500
|
400 |
},
|
401 |
{
|
402 |
+
"epoch": 100.99009900990099,
|
403 |
+
"grad_norm": 0.6166990399360657,
|
404 |
+
"learning_rate": 9.083333333333333e-06,
|
405 |
+
"loss": 0.4097,
|
406 |
"step": 2550
|
407 |
},
|
408 |
{
|
409 |
+
"epoch": 102.97029702970298,
|
410 |
+
"grad_norm": 0.6944295763969421,
|
411 |
+
"learning_rate": 9e-06,
|
412 |
+
"loss": 0.4107,
|
413 |
"step": 2600
|
414 |
},
|
415 |
{
|
416 |
+
"epoch": 104.95049504950495,
|
417 |
+
"grad_norm": 0.8469858765602112,
|
418 |
+
"learning_rate": 8.916666666666667e-06,
|
419 |
+
"loss": 0.4056,
|
420 |
"step": 2650
|
421 |
},
|
422 |
{
|
423 |
+
"epoch": 106.93069306930693,
|
424 |
+
"grad_norm": 0.6261239647865295,
|
425 |
+
"learning_rate": 8.833333333333334e-06,
|
426 |
+
"loss": 0.409,
|
427 |
"step": 2700
|
428 |
},
|
429 |
{
|
430 |
+
"epoch": 108.91089108910892,
|
431 |
+
"grad_norm": 0.6304221749305725,
|
432 |
+
"learning_rate": 8.750000000000001e-06,
|
433 |
+
"loss": 0.4081,
|
434 |
"step": 2750
|
435 |
},
|
436 |
{
|
437 |
+
"epoch": 110.89108910891089,
|
438 |
+
"grad_norm": 0.6513387560844421,
|
439 |
+
"learning_rate": 8.666666666666668e-06,
|
440 |
+
"loss": 0.4071,
|
441 |
"step": 2800
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 112.87128712871286,
|
445 |
+
"grad_norm": 0.9311261177062988,
|
446 |
+
"learning_rate": 8.583333333333333e-06,
|
447 |
+
"loss": 0.4091,
|
448 |
"step": 2850
|
449 |
},
|
450 |
{
|
451 |
+
"epoch": 114.85148514851485,
|
452 |
+
"grad_norm": 0.7296612858772278,
|
453 |
+
"learning_rate": 8.5e-06,
|
454 |
+
"loss": 0.4055,
|
455 |
"step": 2900
|
456 |
},
|
457 |
{
|
458 |
+
"epoch": 116.83168316831683,
|
459 |
+
"grad_norm": 0.8149676322937012,
|
460 |
+
"learning_rate": 8.416666666666667e-06,
|
461 |
+
"loss": 0.4052,
|
462 |
"step": 2950
|
463 |
},
|
464 |
{
|
465 |
+
"epoch": 118.81188118811882,
|
466 |
+
"grad_norm": 0.8266366124153137,
|
467 |
+
"learning_rate": 8.333333333333334e-06,
|
468 |
+
"loss": 0.4049,
|
469 |
"step": 3000
|
470 |
},
|
471 |
{
|
472 |
+
"epoch": 118.81188118811882,
|
473 |
+
"eval_loss": 0.39345207810401917,
|
474 |
+
"eval_runtime": 7.2151,
|
475 |
+
"eval_samples_per_second": 24.948,
|
476 |
+
"eval_steps_per_second": 3.188,
|
477 |
"step": 3000
|
478 |
},
|
479 |
{
|
480 |
+
"epoch": 120.79207920792079,
|
481 |
+
"grad_norm": 0.6681864261627197,
|
482 |
+
"learning_rate": 8.25e-06,
|
483 |
+
"loss": 0.4022,
|
484 |
"step": 3050
|
485 |
},
|
486 |
{
|
487 |
+
"epoch": 122.77227722772277,
|
488 |
+
"grad_norm": 0.5798916220664978,
|
489 |
+
"learning_rate": 8.166666666666668e-06,
|
490 |
+
"loss": 0.4026,
|
491 |
"step": 3100
|
492 |
},
|
493 |
{
|
494 |
+
"epoch": 124.75247524752476,
|
495 |
+
"grad_norm": 0.8516507744789124,
|
496 |
+
"learning_rate": 8.083333333333334e-06,
|
497 |
+
"loss": 0.4064,
|
498 |
"step": 3150
|
499 |
},
|
500 |
{
|
501 |
+
"epoch": 126.73267326732673,
|
502 |
+
"grad_norm": 0.6938304901123047,
|
503 |
+
"learning_rate": 8.000000000000001e-06,
|
504 |
+
"loss": 0.4057,
|
505 |
"step": 3200
|
506 |
},
|
507 |
{
|
508 |
+
"epoch": 128.7128712871287,
|
509 |
+
"grad_norm": 0.6889196038246155,
|
510 |
+
"learning_rate": 7.916666666666667e-06,
|
511 |
+
"loss": 0.4022,
|
512 |
"step": 3250
|
513 |
},
|
514 |
{
|
515 |
+
"epoch": 130.69306930693068,
|
516 |
+
"grad_norm": 0.735680103302002,
|
517 |
+
"learning_rate": 7.833333333333333e-06,
|
518 |
+
"loss": 0.4019,
|
519 |
"step": 3300
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 132.67326732673268,
|
523 |
+
"grad_norm": 1.0390517711639404,
|
524 |
+
"learning_rate": 7.75e-06,
|
525 |
+
"loss": 0.4014,
|
526 |
"step": 3350
|
527 |
},
|
528 |
{
|
529 |
+
"epoch": 134.65346534653466,
|
530 |
+
"grad_norm": 0.807412326335907,
|
531 |
+
"learning_rate": 7.666666666666667e-06,
|
532 |
+
"loss": 0.3989,
|
533 |
"step": 3400
|
534 |
},
|
535 |
{
|
536 |
+
"epoch": 136.63366336633663,
|
537 |
+
"grad_norm": 0.6928243637084961,
|
538 |
+
"learning_rate": 7.583333333333333e-06,
|
539 |
+
"loss": 0.4011,
|
540 |
"step": 3450
|
541 |
},
|
542 |
{
|
543 |
+
"epoch": 138.6138613861386,
|
544 |
+
"grad_norm": 0.6894844770431519,
|
545 |
+
"learning_rate": 7.500000000000001e-06,
|
546 |
+
"loss": 0.4016,
|
547 |
"step": 3500
|
548 |
},
|
549 |
{
|
550 |
+
"epoch": 138.6138613861386,
|
551 |
+
"eval_loss": 0.3931116759777069,
|
552 |
+
"eval_runtime": 7.7493,
|
553 |
+
"eval_samples_per_second": 23.228,
|
554 |
+
"eval_steps_per_second": 2.968,
|
555 |
"step": 3500
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 140.59405940594058,
|
559 |
+
"grad_norm": 0.9431400895118713,
|
560 |
+
"learning_rate": 7.416666666666668e-06,
|
561 |
+
"loss": 0.4028,
|
562 |
"step": 3550
|
563 |
},
|
564 |
{
|
565 |
+
"epoch": 142.5742574257426,
|
566 |
+
"grad_norm": 0.6703277230262756,
|
567 |
+
"learning_rate": 7.333333333333333e-06,
|
568 |
+
"loss": 0.3992,
|
569 |
"step": 3600
|
570 |
},
|
571 |
{
|
572 |
+
"epoch": 144.55445544554456,
|
573 |
+
"grad_norm": 0.8334361910820007,
|
574 |
+
"learning_rate": 7.25e-06,
|
575 |
+
"loss": 0.3979,
|
576 |
"step": 3650
|
577 |
},
|
578 |
{
|
579 |
+
"epoch": 146.53465346534654,
|
580 |
+
"grad_norm": 0.8266313672065735,
|
581 |
+
"learning_rate": 7.166666666666667e-06,
|
582 |
+
"loss": 0.3964,
|
583 |
"step": 3700
|
584 |
},
|
585 |
{
|
586 |
+
"epoch": 148.5148514851485,
|
587 |
+
"grad_norm": 0.7688102126121521,
|
588 |
+
"learning_rate": 7.083333333333335e-06,
|
589 |
+
"loss": 0.3968,
|
590 |
"step": 3750
|
591 |
},
|
592 |
{
|
593 |
+
"epoch": 150.4950495049505,
|
594 |
+
"grad_norm": 0.7516873478889465,
|
595 |
+
"learning_rate": 7e-06,
|
596 |
+
"loss": 0.3971,
|
597 |
"step": 3800
|
598 |
},
|
599 |
{
|
600 |
+
"epoch": 152.47524752475246,
|
601 |
+
"grad_norm": 0.8034970760345459,
|
602 |
+
"learning_rate": 6.916666666666667e-06,
|
603 |
+
"loss": 0.3926,
|
604 |
"step": 3850
|
605 |
},
|
606 |
{
|
607 |
+
"epoch": 154.45544554455446,
|
608 |
+
"grad_norm": 0.681676983833313,
|
609 |
+
"learning_rate": 6.833333333333334e-06,
|
610 |
+
"loss": 0.3975,
|
611 |
"step": 3900
|
612 |
},
|
613 |
{
|
614 |
+
"epoch": 156.43564356435644,
|
615 |
+
"grad_norm": 0.6939652562141418,
|
616 |
+
"learning_rate": 6.750000000000001e-06,
|
617 |
+
"loss": 0.4005,
|
618 |
"step": 3950
|
619 |
},
|
620 |
{
|
621 |
+
"epoch": 158.41584158415841,
|
622 |
+
"grad_norm": 0.6093599200248718,
|
623 |
+
"learning_rate": 6.666666666666667e-06,
|
624 |
+
"loss": 0.3937,
|
625 |
"step": 4000
|
626 |
},
|
627 |
{
|
628 |
+
"epoch": 158.41584158415841,
|
629 |
+
"eval_loss": 0.39361944794654846,
|
630 |
+
"eval_runtime": 7.0786,
|
631 |
+
"eval_samples_per_second": 25.429,
|
632 |
+
"eval_steps_per_second": 3.249,
|
633 |
"step": 4000
|
634 |
},
|
635 |
{
|
636 |
+
"epoch": 160.3960396039604,
|
637 |
+
"grad_norm": 0.6037696003913879,
|
638 |
+
"learning_rate": 6.5833333333333335e-06,
|
639 |
+
"loss": 0.3953,
|
640 |
"step": 4050
|
641 |
},
|
642 |
{
|
643 |
+
"epoch": 162.37623762376236,
|
644 |
+
"grad_norm": 0.6949267387390137,
|
645 |
+
"learning_rate": 6.5000000000000004e-06,
|
646 |
+
"loss": 0.398,
|
647 |
"step": 4100
|
648 |
},
|
649 |
{
|
650 |
+
"epoch": 164.35643564356437,
|
651 |
+
"grad_norm": 0.7271093726158142,
|
652 |
+
"learning_rate": 6.418333333333334e-06,
|
653 |
+
"loss": 0.3945,
|
654 |
"step": 4150
|
655 |
},
|
656 |
{
|
657 |
+
"epoch": 166.33663366336634,
|
658 |
+
"grad_norm": 0.6959238052368164,
|
659 |
+
"learning_rate": 6.335e-06,
|
660 |
+
"loss": 0.3957,
|
661 |
"step": 4200
|
662 |
},
|
663 |
{
|
664 |
+
"epoch": 168.31683168316832,
|
665 |
+
"grad_norm": 0.6987124681472778,
|
666 |
+
"learning_rate": 6.251666666666667e-06,
|
667 |
+
"loss": 0.3973,
|
668 |
"step": 4250
|
669 |
},
|
670 |
{
|
671 |
+
"epoch": 170.2970297029703,
|
672 |
+
"grad_norm": 0.6888285875320435,
|
673 |
+
"learning_rate": 6.168333333333334e-06,
|
674 |
+
"loss": 0.3971,
|
675 |
"step": 4300
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 172.27722772277227,
|
679 |
+
"grad_norm": 0.6536576151847839,
|
680 |
+
"learning_rate": 6.085000000000001e-06,
|
681 |
+
"loss": 0.3939,
|
682 |
"step": 4350
|
683 |
},
|
684 |
{
|
685 |
+
"epoch": 174.25742574257427,
|
686 |
+
"grad_norm": 0.6235485672950745,
|
687 |
+
"learning_rate": 6.001666666666667e-06,
|
688 |
+
"loss": 0.3949,
|
689 |
"step": 4400
|
690 |
},
|
691 |
{
|
692 |
+
"epoch": 176.23762376237624,
|
693 |
+
"grad_norm": 0.7131723761558533,
|
694 |
+
"learning_rate": 5.918333333333334e-06,
|
695 |
+
"loss": 0.3944,
|
696 |
"step": 4450
|
697 |
},
|
698 |
{
|
699 |
+
"epoch": 178.21782178217822,
|
700 |
+
"grad_norm": 0.5429028272628784,
|
701 |
+
"learning_rate": 5.835000000000001e-06,
|
702 |
+
"loss": 0.3953,
|
703 |
"step": 4500
|
704 |
},
|
705 |
{
|
706 |
+
"epoch": 178.21782178217822,
|
707 |
+
"eval_loss": 0.3935137093067169,
|
708 |
+
"eval_runtime": 6.8281,
|
709 |
+
"eval_samples_per_second": 26.362,
|
710 |
+
"eval_steps_per_second": 3.368,
|
711 |
"step": 4500
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 180.1980198019802,
|
715 |
+
"grad_norm": 0.6293529272079468,
|
716 |
+
"learning_rate": 5.751666666666668e-06,
|
717 |
+
"loss": 0.3923,
|
718 |
"step": 4550
|
719 |
},
|
720 |
{
|
721 |
+
"epoch": 182.17821782178217,
|
722 |
+
"grad_norm": 0.7379683256149292,
|
723 |
+
"learning_rate": 5.668333333333334e-06,
|
724 |
+
"loss": 0.393,
|
725 |
"step": 4600
|
726 |
},
|
727 |
{
|
728 |
+
"epoch": 184.15841584158414,
|
729 |
+
"grad_norm": 0.6412554979324341,
|
730 |
+
"learning_rate": 5.585000000000001e-06,
|
731 |
+
"loss": 0.3915,
|
732 |
"step": 4650
|
733 |
},
|
734 |
{
|
735 |
+
"epoch": 186.13861386138615,
|
736 |
+
"grad_norm": 0.7281537652015686,
|
737 |
+
"learning_rate": 5.501666666666668e-06,
|
738 |
+
"loss": 0.3928,
|
739 |
"step": 4700
|
740 |
},
|
741 |
{
|
742 |
+
"epoch": 188.11881188118812,
|
743 |
+
"grad_norm": 0.640044093132019,
|
744 |
+
"learning_rate": 5.418333333333333e-06,
|
745 |
+
"loss": 0.3935,
|
746 |
"step": 4750
|
747 |
},
|
748 |
{
|
749 |
+
"epoch": 190.0990099009901,
|
750 |
+
"grad_norm": 0.6560197472572327,
|
751 |
+
"learning_rate": 5.335000000000001e-06,
|
752 |
+
"loss": 0.3922,
|
753 |
"step": 4800
|
754 |
},
|
755 |
{
|
756 |
+
"epoch": 192.07920792079207,
|
757 |
+
"grad_norm": 0.5895935893058777,
|
758 |
+
"learning_rate": 5.2516666666666675e-06,
|
759 |
+
"loss": 0.3939,
|
760 |
"step": 4850
|
761 |
},
|
762 |
{
|
763 |
+
"epoch": 194.05940594059405,
|
764 |
+
"grad_norm": 0.7578818202018738,
|
765 |
+
"learning_rate": 5.168333333333334e-06,
|
766 |
+
"loss": 0.3939,
|
767 |
"step": 4900
|
768 |
},
|
769 |
{
|
770 |
+
"epoch": 196.03960396039605,
|
771 |
+
"grad_norm": 0.6305426955223083,
|
772 |
+
"learning_rate": 5.085e-06,
|
773 |
+
"loss": 0.3917,
|
774 |
"step": 4950
|
775 |
},
|
776 |
{
|
777 |
+
"epoch": 198.01980198019803,
|
778 |
+
"grad_norm": 0.8592019081115723,
|
779 |
+
"learning_rate": 5.0016666666666665e-06,
|
780 |
+
"loss": 0.3933,
|
781 |
"step": 5000
|
782 |
},
|
783 |
{
|
784 |
+
"epoch": 198.01980198019803,
|
785 |
+
"eval_loss": 0.39355847239494324,
|
786 |
+
"eval_runtime": 7.4596,
|
787 |
+
"eval_samples_per_second": 24.13,
|
788 |
+
"eval_steps_per_second": 3.083,
|
789 |
"step": 5000
|
790 |
},
|
791 |
{
|
792 |
+
"epoch": 200.0,
|
793 |
+
"grad_norm": 0.9197565317153931,
|
794 |
+
"learning_rate": 4.918333333333334e-06,
|
795 |
+
"loss": 0.3947,
|
796 |
"step": 5050
|
797 |
},
|
798 |
{
|
799 |
+
"epoch": 201.98019801980197,
|
800 |
+
"grad_norm": 0.675254225730896,
|
801 |
+
"learning_rate": 4.835e-06,
|
802 |
+
"loss": 0.3921,
|
803 |
"step": 5100
|
804 |
},
|
805 |
{
|
806 |
+
"epoch": 203.96039603960395,
|
807 |
+
"grad_norm": 0.7896837592124939,
|
808 |
+
"learning_rate": 4.751666666666667e-06,
|
809 |
+
"loss": 0.3937,
|
810 |
"step": 5150
|
811 |
},
|
812 |
{
|
813 |
+
"epoch": 205.94059405940595,
|
814 |
+
"grad_norm": 0.6978718042373657,
|
815 |
+
"learning_rate": 4.668333333333333e-06,
|
816 |
+
"loss": 0.3912,
|
817 |
"step": 5200
|
818 |
},
|
819 |
{
|
820 |
+
"epoch": 207.92079207920793,
|
821 |
+
"grad_norm": 0.6968542337417603,
|
822 |
+
"learning_rate": 4.585e-06,
|
823 |
+
"loss": 0.3902,
|
824 |
"step": 5250
|
825 |
},
|
826 |
{
|
827 |
+
"epoch": 209.9009900990099,
|
828 |
+
"grad_norm": 0.6489793062210083,
|
829 |
+
"learning_rate": 4.501666666666667e-06,
|
830 |
+
"loss": 0.3911,
|
831 |
"step": 5300
|
832 |
},
|
833 |
{
|
834 |
+
"epoch": 211.88118811881188,
|
835 |
+
"grad_norm": 0.6600732803344727,
|
836 |
+
"learning_rate": 4.418333333333334e-06,
|
837 |
+
"loss": 0.3912,
|
838 |
"step": 5350
|
839 |
},
|
840 |
{
|
841 |
+
"epoch": 213.86138613861385,
|
842 |
+
"grad_norm": 0.6637029051780701,
|
843 |
+
"learning_rate": 4.335e-06,
|
844 |
+
"loss": 0.3903,
|
845 |
"step": 5400
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 215.84158415841586,
|
849 |
+
"grad_norm": 0.9407865405082703,
|
850 |
+
"learning_rate": 4.251666666666667e-06,
|
851 |
+
"loss": 0.3913,
|
852 |
"step": 5450
|
853 |
},
|
854 |
{
|
855 |
+
"epoch": 217.82178217821783,
|
856 |
+
"grad_norm": 0.674074649810791,
|
857 |
+
"learning_rate": 4.168333333333334e-06,
|
858 |
+
"loss": 0.3932,
|
859 |
"step": 5500
|
860 |
},
|
861 |
{
|
862 |
+
"epoch": 217.82178217821783,
|
863 |
+
"eval_loss": 0.3936135172843933,
|
864 |
+
"eval_runtime": 7.411,
|
865 |
+
"eval_samples_per_second": 24.288,
|
866 |
+
"eval_steps_per_second": 3.103,
|
867 |
"step": 5500
|
868 |
},
|
869 |
{
|
870 |
+
"epoch": 219.8019801980198,
|
871 |
+
"grad_norm": 0.5686890482902527,
|
872 |
+
"learning_rate": 4.085e-06,
|
873 |
+
"loss": 0.391,
|
874 |
"step": 5550
|
875 |
},
|
876 |
{
|
877 |
+
"epoch": 221.78217821782178,
|
878 |
+
"grad_norm": 0.5418526530265808,
|
879 |
+
"learning_rate": 4.001666666666667e-06,
|
880 |
+
"loss": 0.3863,
|
881 |
"step": 5600
|
882 |
},
|
883 |
{
|
884 |
+
"epoch": 223.76237623762376,
|
885 |
+
"grad_norm": 0.7057704925537109,
|
886 |
+
"learning_rate": 3.918333333333334e-06,
|
887 |
+
"loss": 0.394,
|
888 |
"step": 5650
|
889 |
},
|
890 |
{
|
891 |
+
"epoch": 225.74257425742573,
|
892 |
+
"grad_norm": 0.6317301392555237,
|
893 |
+
"learning_rate": 3.8350000000000006e-06,
|
894 |
+
"loss": 0.3906,
|
895 |
"step": 5700
|
896 |
},
|
897 |
{
|
898 |
+
"epoch": 227.72277227722773,
|
899 |
+
"grad_norm": 0.6327551007270813,
|
900 |
+
"learning_rate": 3.7516666666666666e-06,
|
901 |
+
"loss": 0.3902,
|
902 |
"step": 5750
|
903 |
},
|
904 |
{
|
905 |
+
"epoch": 229.7029702970297,
|
906 |
+
"grad_norm": 0.6199086904525757,
|
907 |
+
"learning_rate": 3.668333333333334e-06,
|
908 |
+
"loss": 0.3912,
|
909 |
"step": 5800
|
910 |
},
|
911 |
{
|
912 |
+
"epoch": 231.68316831683168,
|
913 |
+
"grad_norm": 0.6341702938079834,
|
914 |
+
"learning_rate": 3.585e-06,
|
915 |
+
"loss": 0.391,
|
916 |
"step": 5850
|
917 |
},
|
918 |
{
|
919 |
+
"epoch": 233.66336633663366,
|
920 |
+
"grad_norm": 0.7226659655570984,
|
921 |
+
"learning_rate": 3.5016666666666673e-06,
|
922 |
+
"loss": 0.3908,
|
923 |
"step": 5900
|
924 |
},
|
925 |
{
|
926 |
+
"epoch": 235.64356435643563,
|
927 |
+
"grad_norm": 0.6628900170326233,
|
928 |
+
"learning_rate": 3.4183333333333334e-06,
|
929 |
+
"loss": 0.3899,
|
930 |
"step": 5950
|
931 |
},
|
932 |
{
|
933 |
+
"epoch": 237.62376237623764,
|
934 |
+
"grad_norm": 0.6972154378890991,
|
935 |
+
"learning_rate": 3.3350000000000003e-06,
|
936 |
+
"loss": 0.3884,
|
937 |
"step": 6000
|
938 |
},
|
939 |
{
|
940 |
+
"epoch": 237.62376237623764,
|
941 |
+
"eval_loss": 0.3934413194656372,
|
942 |
+
"eval_runtime": 7.3097,
|
943 |
+
"eval_samples_per_second": 24.625,
|
944 |
+
"eval_steps_per_second": 3.146,
|
945 |
"step": 6000
|
946 |
},
|
947 |
{
|
948 |
+
"epoch": 239.6039603960396,
|
949 |
+
"grad_norm": 0.7429386377334595,
|
950 |
+
"learning_rate": 3.2516666666666667e-06,
|
951 |
+
"loss": 0.3902,
|
952 |
"step": 6050
|
953 |
},
|
954 |
{
|
955 |
+
"epoch": 241.58415841584159,
|
956 |
+
"grad_norm": 0.6832717061042786,
|
957 |
+
"learning_rate": 3.1683333333333336e-06,
|
958 |
+
"loss": 0.3896,
|
959 |
"step": 6100
|
960 |
},
|
961 |
{
|
962 |
+
"epoch": 243.56435643564356,
|
963 |
+
"grad_norm": 0.7591320872306824,
|
964 |
+
"learning_rate": 3.085e-06,
|
965 |
+
"loss": 0.3905,
|
966 |
"step": 6150
|
967 |
},
|
968 |
{
|
969 |
+
"epoch": 245.54455445544554,
|
970 |
+
"grad_norm": 0.5904133319854736,
|
971 |
+
"learning_rate": 3.001666666666667e-06,
|
972 |
+
"loss": 0.3876,
|
973 |
"step": 6200
|
974 |
},
|
975 |
{
|
976 |
+
"epoch": 247.52475247524754,
|
977 |
+
"grad_norm": 0.6338399052619934,
|
978 |
+
"learning_rate": 2.9183333333333335e-06,
|
979 |
+
"loss": 0.3891,
|
980 |
"step": 6250
|
981 |
},
|
982 |
{
|
983 |
+
"epoch": 249.5049504950495,
|
984 |
+
"grad_norm": 0.6359020471572876,
|
985 |
+
"learning_rate": 2.835e-06,
|
986 |
+
"loss": 0.3905,
|
987 |
"step": 6300
|
988 |
},
|
989 |
{
|
990 |
+
"epoch": 251.4851485148515,
|
991 |
+
"grad_norm": 0.6320521831512451,
|
992 |
+
"learning_rate": 2.751666666666667e-06,
|
993 |
+
"loss": 0.3885,
|
994 |
"step": 6350
|
995 |
},
|
996 |
{
|
997 |
+
"epoch": 253.46534653465346,
|
998 |
+
"grad_norm": 0.6006565690040588,
|
999 |
+
"learning_rate": 2.6683333333333333e-06,
|
1000 |
+
"loss": 0.3861,
|
1001 |
"step": 6400
|
1002 |
},
|
1003 |
{
|
1004 |
+
"epoch": 255.44554455445544,
|
1005 |
+
"grad_norm": 0.5949265360832214,
|
1006 |
+
"learning_rate": 2.5866666666666667e-06,
|
1007 |
+
"loss": 0.3898,
|
1008 |
"step": 6450
|
1009 |
},
|
1010 |
{
|
1011 |
+
"epoch": 257.4257425742574,
|
1012 |
+
"grad_norm": 0.6407713294029236,
|
1013 |
+
"learning_rate": 2.5033333333333336e-06,
|
1014 |
+
"loss": 0.3889,
|
1015 |
"step": 6500
|
1016 |
},
|
1017 |
{
|
1018 |
+
"epoch": 257.4257425742574,
|
1019 |
+
"eval_loss": 0.3926040828227997,
|
1020 |
+
"eval_runtime": 7.8449,
|
1021 |
+
"eval_samples_per_second": 22.945,
|
1022 |
+
"eval_steps_per_second": 2.932,
|
1023 |
"step": 6500
|
1024 |
},
|
1025 |
{
|
1026 |
+
"epoch": 259.4059405940594,
|
1027 |
+
"grad_norm": 0.6776269674301147,
|
1028 |
+
"learning_rate": 2.42e-06,
|
1029 |
+
"loss": 0.3863,
|
1030 |
"step": 6550
|
1031 |
},
|
1032 |
{
|
1033 |
+
"epoch": 261.38613861386136,
|
1034 |
+
"grad_norm": 0.7183690667152405,
|
1035 |
+
"learning_rate": 2.3366666666666666e-06,
|
1036 |
+
"loss": 0.388,
|
1037 |
"step": 6600
|
1038 |
},
|
1039 |
{
|
1040 |
+
"epoch": 263.36633663366337,
|
1041 |
+
"grad_norm": 0.683351993560791,
|
1042 |
+
"learning_rate": 2.2533333333333335e-06,
|
1043 |
+
"loss": 0.3861,
|
1044 |
"step": 6650
|
1045 |
},
|
1046 |
{
|
1047 |
+
"epoch": 265.34653465346537,
|
1048 |
+
"grad_norm": 0.5622109770774841,
|
1049 |
+
"learning_rate": 2.17e-06,
|
1050 |
+
"loss": 0.3872,
|
1051 |
"step": 6700
|
1052 |
},
|
1053 |
{
|
1054 |
+
"epoch": 267.3267326732673,
|
1055 |
+
"grad_norm": 0.6307435035705566,
|
1056 |
+
"learning_rate": 2.086666666666667e-06,
|
1057 |
+
"loss": 0.3851,
|
1058 |
"step": 6750
|
1059 |
},
|
1060 |
{
|
1061 |
+
"epoch": 269.3069306930693,
|
1062 |
+
"grad_norm": 0.5858733654022217,
|
1063 |
+
"learning_rate": 2.0033333333333334e-06,
|
1064 |
+
"loss": 0.3847,
|
1065 |
"step": 6800
|
1066 |
},
|
1067 |
{
|
1068 |
+
"epoch": 271.28712871287127,
|
1069 |
+
"grad_norm": 0.7978197336196899,
|
1070 |
+
"learning_rate": 1.9200000000000003e-06,
|
1071 |
+
"loss": 0.3876,
|
1072 |
"step": 6850
|
1073 |
},
|
1074 |
{
|
1075 |
+
"epoch": 273.26732673267327,
|
1076 |
+
"grad_norm": 0.6843935251235962,
|
1077 |
+
"learning_rate": 1.836666666666667e-06,
|
1078 |
+
"loss": 0.3871,
|
1079 |
"step": 6900
|
1080 |
},
|
1081 |
{
|
1082 |
+
"epoch": 275.2475247524753,
|
1083 |
+
"grad_norm": 0.8366850018501282,
|
1084 |
+
"learning_rate": 1.7533333333333336e-06,
|
1085 |
+
"loss": 0.3909,
|
1086 |
"step": 6950
|
1087 |
},
|
1088 |
{
|
1089 |
+
"epoch": 277.2277227722772,
|
1090 |
+
"grad_norm": 0.584172248840332,
|
1091 |
+
"learning_rate": 1.6700000000000003e-06,
|
1092 |
+
"loss": 0.3855,
|
1093 |
"step": 7000
|
1094 |
},
|
1095 |
{
|
1096 |
+
"epoch": 277.2277227722772,
|
1097 |
+
"eval_loss": 0.39400026202201843,
|
1098 |
+
"eval_runtime": 6.8593,
|
1099 |
+
"eval_samples_per_second": 26.242,
|
1100 |
+
"eval_steps_per_second": 3.353,
|
1101 |
"step": 7000
|
1102 |
},
|
1103 |
{
|
1104 |
+
"epoch": 279.2079207920792,
|
1105 |
+
"grad_norm": 0.7005228996276855,
|
1106 |
+
"learning_rate": 1.586666666666667e-06,
|
1107 |
+
"loss": 0.3858,
|
1108 |
"step": 7050
|
1109 |
},
|
1110 |
{
|
1111 |
+
"epoch": 281.18811881188117,
|
1112 |
+
"grad_norm": 0.5294095277786255,
|
1113 |
+
"learning_rate": 1.5033333333333337e-06,
|
1114 |
+
"loss": 0.3845,
|
1115 |
"step": 7100
|
1116 |
},
|
1117 |
{
|
1118 |
+
"epoch": 283.16831683168317,
|
1119 |
+
"grad_norm": 0.5473897457122803,
|
1120 |
+
"learning_rate": 1.42e-06,
|
1121 |
+
"loss": 0.3846,
|
1122 |
"step": 7150
|
1123 |
},
|
1124 |
{
|
1125 |
+
"epoch": 285.1485148514852,
|
1126 |
+
"grad_norm": 0.6222283840179443,
|
1127 |
+
"learning_rate": 1.3366666666666666e-06,
|
1128 |
+
"loss": 0.3849,
|
1129 |
"step": 7200
|
1130 |
},
|
1131 |
{
|
1132 |
+
"epoch": 287.1287128712871,
|
1133 |
+
"grad_norm": 0.6396065354347229,
|
1134 |
+
"learning_rate": 1.2533333333333333e-06,
|
1135 |
+
"loss": 0.3878,
|
1136 |
"step": 7250
|
1137 |
},
|
1138 |
{
|
1139 |
+
"epoch": 289.1089108910891,
|
1140 |
+
"grad_norm": 0.6903032064437866,
|
1141 |
+
"learning_rate": 1.1700000000000002e-06,
|
1142 |
+
"loss": 0.3865,
|
1143 |
"step": 7300
|
1144 |
},
|
1145 |
{
|
1146 |
+
"epoch": 291.08910891089107,
|
1147 |
+
"grad_norm": 0.6112281680107117,
|
1148 |
+
"learning_rate": 1.0866666666666667e-06,
|
1149 |
+
"loss": 0.3888,
|
1150 |
"step": 7350
|
1151 |
},
|
1152 |
{
|
1153 |
+
"epoch": 293.0693069306931,
|
1154 |
+
"grad_norm": 0.6655446887016296,
|
1155 |
+
"learning_rate": 1.0033333333333334e-06,
|
1156 |
+
"loss": 0.3844,
|
1157 |
"step": 7400
|
1158 |
},
|
1159 |
{
|
1160 |
+
"epoch": 295.0495049504951,
|
1161 |
+
"grad_norm": 0.5784509181976318,
|
1162 |
+
"learning_rate": 9.200000000000001e-07,
|
1163 |
+
"loss": 0.3862,
|
1164 |
"step": 7450
|
1165 |
},
|
1166 |
{
|
1167 |
+
"epoch": 297.029702970297,
|
1168 |
+
"grad_norm": 0.6216564774513245,
|
1169 |
+
"learning_rate": 8.366666666666668e-07,
|
1170 |
+
"loss": 0.3892,
|
1171 |
"step": 7500
|
1172 |
},
|
1173 |
{
|
1174 |
+
"epoch": 297.029702970297,
|
1175 |
+
"eval_loss": 0.3934391140937805,
|
1176 |
+
"eval_runtime": 7.8487,
|
1177 |
+
"eval_samples_per_second": 22.934,
|
1178 |
+
"eval_steps_per_second": 2.93,
|
1179 |
"step": 7500
|
1180 |
},
|
1181 |
{
|
1182 |
+
"epoch": 299.009900990099,
|
1183 |
+
"grad_norm": 0.9473925232887268,
|
1184 |
+
"learning_rate": 7.533333333333335e-07,
|
1185 |
+
"loss": 0.3873,
|
1186 |
"step": 7550
|
1187 |
},
|
1188 |
{
|
1189 |
+
"epoch": 300.990099009901,
|
1190 |
+
"grad_norm": 0.5682732462882996,
|
1191 |
+
"learning_rate": 6.7e-07,
|
1192 |
"loss": 0.3874,
|
1193 |
"step": 7600
|
1194 |
},
|
1195 |
{
|
1196 |
+
"epoch": 302.970297029703,
|
1197 |
+
"grad_norm": 0.787708580493927,
|
1198 |
+
"learning_rate": 5.866666666666667e-07,
|
1199 |
+
"loss": 0.3892,
|
1200 |
"step": 7650
|
1201 |
},
|
1202 |
{
|
1203 |
+
"epoch": 304.9504950495049,
|
1204 |
+
"grad_norm": 0.7085989713668823,
|
1205 |
+
"learning_rate": 5.033333333333334e-07,
|
1206 |
+
"loss": 0.3851,
|
1207 |
"step": 7700
|
1208 |
},
|
1209 |
{
|
1210 |
+
"epoch": 306.9306930693069,
|
1211 |
+
"grad_norm": 0.6272616386413574,
|
1212 |
+
"learning_rate": 4.2000000000000006e-07,
|
1213 |
+
"loss": 0.3891,
|
1214 |
"step": 7750
|
1215 |
},
|
1216 |
{
|
1217 |
+
"epoch": 308.91089108910893,
|
1218 |
+
"grad_norm": 0.6887345314025879,
|
1219 |
+
"learning_rate": 3.366666666666667e-07,
|
1220 |
+
"loss": 0.3874,
|
1221 |
"step": 7800
|
1222 |
},
|
1223 |
{
|
1224 |
+
"epoch": 310.8910891089109,
|
1225 |
+
"grad_norm": 0.6206291913986206,
|
1226 |
+
"learning_rate": 2.533333333333333e-07,
|
1227 |
+
"loss": 0.3853,
|
1228 |
"step": 7850
|
1229 |
},
|
1230 |
{
|
1231 |
+
"epoch": 312.8712871287129,
|
1232 |
+
"grad_norm": 0.6549195051193237,
|
1233 |
+
"learning_rate": 1.7000000000000001e-07,
|
1234 |
+
"loss": 0.3867,
|
1235 |
"step": 7900
|
1236 |
},
|
1237 |
{
|
1238 |
+
"epoch": 314.8514851485148,
|
1239 |
+
"grad_norm": 0.7210911512374878,
|
1240 |
+
"learning_rate": 8.666666666666668e-08,
|
1241 |
+
"loss": 0.3845,
|
1242 |
"step": 7950
|
1243 |
},
|
1244 |
{
|
1245 |
+
"epoch": 316.83168316831683,
|
1246 |
+
"grad_norm": 0.6023419499397278,
|
1247 |
+
"learning_rate": 3.3333333333333334e-09,
|
1248 |
+
"loss": 0.3899,
|
1249 |
"step": 8000
|
1250 |
},
|
1251 |
{
|
1252 |
+
"epoch": 316.83168316831683,
|
1253 |
+
"eval_loss": 0.39394611120224,
|
1254 |
+
"eval_runtime": 7.5969,
|
1255 |
+
"eval_samples_per_second": 23.694,
|
1256 |
+
"eval_steps_per_second": 3.028,
|
1257 |
"step": 8000
|
1258 |
}
|
1259 |
],
|
1260 |
"logging_steps": 50,
|
1261 |
"max_steps": 8000,
|
1262 |
"num_input_tokens_seen": 0,
|
1263 |
+
"num_train_epochs": 320,
|
1264 |
"save_steps": 500,
|
1265 |
"stateful_callbacks": {
|
1266 |
"TrainerControl": {
|
|
|
1274 |
"attributes": {}
|
1275 |
}
|
1276 |
},
|
1277 |
+
"total_flos": 8.643923525044128e+16,
|
1278 |
+
"train_batch_size": 16,
|
1279 |
"trial_name": null,
|
1280 |
"trial_params": null
|
1281 |
}
|
checkpoint-8000/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7e97537a0fb344678f807f30d02bd561fb4b5c2162a68338251550dd3ef50d20
|
3 |
size 5304
|